Remote Model Risk & AI Governance Advisor

CSAA Insurance Group; Philadelphia (Philadelphia County); À distance; USD 117 000 - 156 000; Plein temps

Avantages offerts par ce poste

Annual bonus

401(k) with company match

Remote-first culture

Résumé du poste

CSAA Insurance Group is seeking a Model Risk Advisor to promote governance of AI models and ensure compliance with policies and standards. The role supports maintenance of model inventories, risk assessment, and governance controls in a remote, flexible workplace.

The position requires 4+ years in model risk management, strong communication skills, and knowledge of AI governance, privacy, and regulatory considerations.

Qualifications

• 4+ years of experience in Model risk management, risk, and audit.
• Bachelor's degree in computer science, information management, data science or a related field.
• Four years of work experience in AI Model governance, Model Risk Management, or Audit, information management can be substituted in lieu of a degree in addition to the minimum years of work experience.
• Knowledge of compliance monitoring and/or auditing principles.
• Knowledge of privacy, security, and AI Model governance standards.
• Capable of independently authoring and communicating technical and business information in a variety of formats and explaining complex and/or technical topics relating to AI Model governance.
• Good written and verbal skills, including an ability to translate technical information into concepts that are easily understood.
• Strong strategic, interpersonal, communication, and critical thinking skills required.
• Experience in deploying AI Model governance, Model Risk programs across a large enterprise.
• AI Model Governance policy, standard, controls establishment, enforcement, and monitoring.
• Proven experiences in AI ethics, governance, compliance, or related roles.
• Demonstrated knowledge and understanding of AI governance principles, including ethical considerations, regulatory compliance (e.g., EU AI Act and AI Executive Order) and risk management frameworks (e.g., NIST framework).
• Good understanding of bias testing and remediation for machine learning and generative AI models.
• General understanding of risk and compliance principles as applied to AI Model Governance and data management solutions.
• Ability to lead and influence change within complex organizational structures.
• Strong social skills and the ability to collaborate at all levels of the organization.

Responsabilités

• Promote awareness of AI governance across the enterprise.
• Maintain a complete inventory of AI/ML/GenAI models with ownership and risk ratings.
• Assess model risk by complexity, regulatory requirements, and usage.
• Implement and maintain Model Risk Management frameworks, controls, policies, standards, and procedures.
• Monitor model performance and governance controls and call out issues.
• Support model validation and testing activities with defined scope and findings.
• Participate in AI Model Governance oversight activities including audits and risk assessments.
• Develop reporting and executive insights on AI governance, model risk, and control effectiveness.
• Collaborate with internal teams, auditors, and external suppliers to maintain governance documentation.
• Monitor evolving regulatory expectations and incorporate requirements into governance practices.
• Identify opportunities to automate and streamline AI governance processes.
• Evaluate governance processes and tools and propose improvements when appropriate.

Connaissances

AI governance

Model risk management

Compliance auditing

Risk assessment

Stakeholder collaboration

Formation

Bachelor's degree in computer science or related field

Outils

Collibra

Description du poste

CSAA Insurance Group is seeking a Model Risk Advisor to promote governance of AI models and ensure compliance with policies and standards. The role supports maintenance of model inventories, risk assessment, and governance controls in a remote, flexible workplace.

The position requires 4+ years in model risk management, strong communication skills, and knowledge of AI governance, privacy, and regulatory considerations.